2023
DOI: 10.3390/su15065554
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Industry 5.0: Tracking Scientific Activity on the Most Influential Industries, Associated Topics, and Future Research Agenda

Abstract: Industry 5.0 arrived and sounded the alarms, warning entrepreneurs to adopt it as quickly as possible; the advantage is that this industry is still in its preliminary stages. However, there is little research on this model in the literature. In this context, the objective of this study was to analyze the current state of industry 5.0 in 215 publications from the Scopus database during the period 2019–2022. The applied methodology was quantitative analysis, with a bibliometric approach supported by the VOSviewe… Show more

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Cited by 13 publications
(5 citation statements)
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References 110 publications
(208 reference statements)
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“…Many researchers claim that artificial intelligence has yet to be fully exploited for the full benefit of supply chains [38]. Potential applications of artificial intelligence in agri-food industry include cognitive computing for complex problems [39], sentiment analysis [40], human-machine collaboration providing, for example, improved marketing strategies that reduce waste and overproduction [41], autonomous learning systems which self-program, self-organize and self-optimize, and digital twins supported by rapid-response artificial intelligence algorithms [42]. The key enablers for the adoption of artificial intelligence in food grain supply chains in India have been explored, finding 16 significant enablers [43].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Many researchers claim that artificial intelligence has yet to be fully exploited for the full benefit of supply chains [38]. Potential applications of artificial intelligence in agri-food industry include cognitive computing for complex problems [39], sentiment analysis [40], human-machine collaboration providing, for example, improved marketing strategies that reduce waste and overproduction [41], autonomous learning systems which self-program, self-organize and self-optimize, and digital twins supported by rapid-response artificial intelligence algorithms [42]. The key enablers for the adoption of artificial intelligence in food grain supply chains in India have been explored, finding 16 significant enablers [43].…”
Section: Literature Reviewmentioning
confidence: 99%
“…In the manufacturing sector, AI has played a pivotal role in the development of intelligent systems, enhancing decision-making and increasing flexibility in physical processes to meet the dynamic global market demands (Espina-Romero et al, 2023).…”
Section: Industrymentioning
confidence: 99%
“…This has created significant growth in big data generated by various smart digital devices. Artificial intelligence (AI)-driven big data processing technologies that utilize pattern recognition, machine learning, and deep learning have emerged as solutions for handling large-scale heterogeneous data [1,2]. AI-driven big data processing opens doors for AI-powered innovations based on created data.…”
Section: Introductionmentioning
confidence: 99%